Question

An article considered regressing y = 28-day standard-cured strength (psi) against x = accelerated strength (psi)....

An article considered regressing y = 28-day standard-cured strength (psi) against x = accelerated strength (psi). Suppose the equation of the true regression line is y = 1800 + 1.4x, and that the standard deviation of the random deviation ϵ is 350 psi.

(a) What is the probability that the observed value of 28-day strength will exceed 5000 psi when the value of accelerated strength is 2000? (Round your answer to four decimal places.)

Answer: 0.1271

(b) What is the probability that the observed value of 28-day strength will exceed 5000 psi when the value of accelerated strength is 2500? (Round your answer to four decimal places.)

Answer: 0.8051

(c)Consider making two independent observations on 28-day strength, the first for an accelerated strength of 2000 and the second for

x = 2500. What is the probability that the second observation will exceed the first by more than 1000 psi? (Round your answer to four decimal places.)

Answer: 0.2709

(d)Let Y1 and Y2 denote observations on 28-day strength when x = x1 and x = x2, respectively. By how much would x2 have to exceed x1 in order that P(Y2 > Y1) = 0.95? (Round your answer to two decimal places.

Answer: ????

Just need help on part D. All the other answers are correct.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in pounds per square inch​ (psi) of a certain type of concrete. 7-Day_Strength_(psi)_-_x   28-Day_Strength_(psi)_-_y 2300   4070 3380   5020 2620   4190 3390   5220 3330   4850 (a) Treating the​ 7-day strength as the explanatory​ variable, x, use technology to determine the estimates of β0 and β1. β0≈b0=1753.9​ (Round to one decimal place as​ needed.) β1≈b1=0.9707 ​(Round to four decimal places as​ needed.) Se=150.6 ​(Round to one decimal...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in pounds per square inch​ (psi) of a certain type of concrete. Complete parts​ (a) through​ (f) below. ​7-Day Strength​ (psi), x 3380 3330 2620 2300 3390 ​28-Day Strength​ (psi), y 5020 4850 4190 4070 5220 ​(a) Treating the​ 7-day strength as the explanatory​ variable, x, use technology to determine the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals nothing ​(Round to...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in pounds per square inch​ (psi) of a certain type of concrete. 7-Day_Strength_(psi)_-_x   28-Day_Strength_(psi)_-_y 2300   4070 3380   5020 2620   4190 3390   5220 3330   4850 (a) Treating the​ 7-day strength as the explanatory​ variable, x, use technology to determine the estimates of β0 and β1. β0≈b0=1753.9 ​ (Round to one decimal place as​ needed.) β1≈b1=0.9707 ​ (Round to four decimal places as​ needed.) Se=150.6 ​(Round to...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in pounds per square inch​ (psi) of a certain type of concrete. 7-Day_Strength_(psi)_-_x   28-Day_Strength_(psi)_-_y 2300   4070 3380   5020 2620   4190 3390   5220 3330   4850 ​(a) Treating the​ 7-day strength as the explanatory​ variable, x, use technology to determine the estimates of β0 and β1. β0≈b0=__?__ ​(Round to one decimal place as​ needed.) β1≈b1=__?__ ​(Round to four decimal places as​ needed.)
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in pounds per square inch​ (psi) of a certain type of concrete. 7-Day_Strength_(psi)_-_x   28-Day_Strength_(psi)_-_y 2300   4070 3380   5020 2620   4190 3390   5220 3330   4850 ​(a) Treating the​ 7-day strength as the explanatory​ variable, x, use technology to determine the estimates of β0 and β1. β0≈b0=1753.9​ (Round to one decimal place as​ needed.) β1≈b1=0.9707 ​(Round to four decimal places as​ needed.) Se=__?__ ​(Round to one decimal...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in pounds per square inch​ (psi) of a certain type of concrete. 7-Day_Strength_(psi)_-_x   28-Day_Strength_(psi)_-_y 3390   5220 3340   4630 2300   4070 2480   4120 3380   5020 ​(a) Treating the​ 7-day strength as the explanatory​ variable, x, use technology to determine the estimates of β0 and β1. β0≈b0=1981.5 ​(Round to one decimal place as​ needed.) β1≈b1=0.8833 ​(Round to four decimal places as​ needed.) b) Compute the standard error...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in...
As concrete​ cures, it gains strength. The following data represent the​ 7-day and​ 28-day strength in pounds per square inch​ (psi) of a certain type of concrete. Complete parts​ (a) through​ (f) below. ​7-Day Strength​ (psi), x 24802480 33903390 23002300 33803380 26202620 Open in StatCrunch + Copy to Clipboard + Open in Excel + ​28-Day Strength​ (psi), y 41204120 52205220 40704070 50205020 41904190 ​(a) Treating the​ 7-day strength as the explanatory​ variable, x, use technology to determine the estimates of...
The breaking strength of a rivet has a mean value of 9,950 psi and a standard...
The breaking strength of a rivet has a mean value of 9,950 psi and a standard deviation of 496 psi. (a) What is the probability that the sample mean breaking strength for a random sample of 40 rivets is between 9,850 and 10,150? (Round your answer to four decimal places.)
The breaking strength of a rivet has a mean value of 10,000 psi and a standard...
The breaking strength of a rivet has a mean value of 10,000 psi and a standard deviation of 498 psi. (a) What is the probability that the sample mean breaking strength for a random sample of 40 rivets is between 9,900 and 10,200? (Round your answer to four decimal places.)
Suppose that X1, X2,   , Xn and Y1, Y2,   , Yn are independent random samples from populations with...
Suppose that X1, X2,   , Xn and Y1, Y2,   , Yn are independent random samples from populations with means μ1 and μ2 and variances σ12 and σ22, respectively. It can be shown that the random variable Un = (X − Y) − (μ1 − μ2) σ12 + σ22 n satisfies the conditions of the central limit theorem and thus that the distribution function of Un converges to a standard normal distribution function as n → ∞. An experiment is designed to test...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT